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Interconnected power systems are critically vulnerable to instability due to the disturbances in any one portion of the system. Even low-frequency oscillations and small disturbances may lead to an outage of the system. Properly tuned Power System Stabilizer (PSS) is an effective tool for the suppression of these oscillations. This paper proposes a novel approach to tune proportional-integral (PI),...
This paper proposes a new approach for the simultaneous stabilization of multi-machine power system networks by tuning the parameters of power system stabilizers (PSS) using backtracking search algorithm (BSA). To enhance system damping, damping ratio based objective function is considered and widely used conventional lead-lag type PSS structure is used. The ability to lead the optimal design of the...
The identification of nonlinear systems with artificial neural networks models has been successfully used in many applications. Most processes in industry are characterized by nonlinear and time-varying behavior. In this context, the identification of mathematical models for nonlinear systems is vital in many fields of engineering. The Radial Basis Function Neural Network (RBF-NN) is a powerful approach...
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